1

Data Science Teaching Assistant Jobs in Edmonton, AB

... * Assist in the deployment and continuous improvement of supply chain analytics tools and technologies Requirements * Bachelor's degree in Supply Chain Management, Business Analytics, Data Science ...

... * Assist in implementing change management and release management strategies to support smooth ... Bachelor's degree in Computer Engineering, Computer Science, or a related field Join our team and ...

... teaching staff. Under the direct supervision of the Senior Research Coordinator and Principal ... participant recruitment; data collection, and regulatory support. The University of Alberta ...

Integrate assessments and other data to establish appropriate long and short-term goals and provide ... Provide relevant medication teaching. * Assist with individual or group therapy. * Accurately ...

... data science and manufacturing, Nabors aims to innovate the future of energy and enable the ... Install, troubleshoot and repair our OEM equipment * Assist our customers with electrical issues ...

... data science and manufacturing, Nabors aims to innovate the future of energy and enable the ... Install, troubleshoot and repair our OEM equipment * Assist our customers with electrical issues ...

next page

Showing results 1-20

Data Science Teaching Assistant information

What skills and qualifications are needed to be a data science teaching assistant?

To thrive as a Data Science Teaching Assistant, you need a solid understanding of data science concepts, programming (especially Python or R), statistics, and often a relevant degree or coursework. Familiarity with tools such as Jupyter Notebooks, data visualization libraries, and version control systems like Git is typically required. Strong communication, patience, and the ability to explain complex topics clearly are standout soft skills in this role. These skills enable effective student support, reinforce learning outcomes, and contribute to a positive educational environment.

What challenges do data science teaching assistants face when supporting student learning, and how can they be addressed?

Data Science Teaching Assistants often encounter challenges such as explaining complex concepts in accessible ways, managing diverse student skill levels, and providing timely feedback on assignments. To address these challenges, it's important to use clear examples, encourage open communication, and adapt explanations to different learning styles. Collaborating closely with course instructors and leveraging office hours or online discussion forums can also help TAs support students more effectively and ensure no one falls behind.

What is a data science teaching assistant?

Data Science Teaching Assistants (TAs) support instructors and students in data science courses or bootcamps. They help clarify complex concepts, assist with coding exercises, answer student questions, and sometimes grade assignments or provide feedback. TAs often have a strong foundation in programming, statistics, and data analysis, and they play a key role in enhancing the learning experience. Their involvement can range from leading small group sessions to providing one-on-one help during office hours.

How to become a data science teaching assistant?

To become a data science teaching assistant, candidates typically need a strong background in data science, statistics, or related fields, along with proficiency in programming languages like Python or R. Relevant experience with data analysis, machine learning, and teaching or mentoring skills are also important, and some positions may require a graduate degree or coursework in data science or education. Gaining experience through internships, projects, or assisting in courses can improve prospects for this role.

What is the difference between Data Science Teaching Assistant vs Data Analyst?

AspectData Science Teaching AssistantData Analyst
Required CredentialsOften a degree in data science, statistics, or related field; familiarity with data toolsDegree in statistics, data analysis, or related field; proficiency in data tools
Work EnvironmentEducational settings, labs, online coursesBusiness, corporate, or research environments
Employer & Industry UsageUniversities, online education platformsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding teaching roles in data science educationUnderstanding data analysis tasks and roles

While both roles involve working with data and require similar technical skills, a Data Science Teaching Assistant primarily supports educational activities, assisting instructors and students in learning data science concepts. In contrast, a Data Analyst focuses on analyzing data to generate insights for business decisions. The roles differ mainly in their work environment and primary objectives, though they share foundational data skills.

What are popular job titles related to Data Science Teaching Assistant jobs in Edmonton, AB? For Data Science Teaching Assistant jobs in Edmonton, AB, the most frequently searched job titles are:
What job categories do people searching Data Science Teaching Assistant jobs in Edmonton, AB look for? The top searched job categories for Data Science Teaching Assistant jobs in Edmonton, AB are:
What cities near Edmonton, AB are hiring for Data Science Teaching Assistant jobs? Cities near Edmonton, AB with the most Data Science Teaching Assistant job openings:

Analyst, Capital Governance & Data Management

EPCOR

Edmonton, AB

CA$54.92/hr

Full-time

Re-posted 16 hours ago


Job description

Highlights of the job

EPCOR Water Services is hiring a full-time permanent Analyst, Capital Governance & Data Management to join our Finance & Planning team. This position is based at our Rossdale Water Treatment Plant site in Edmonton, Alberta.

The Analyst, Capital Governance & Data Management is accountable for collecting and organizing data and developing efficient models, templates, and tools used by CGR and Capital teams for KPI reporting and decision making. The role maintains and leverages these tools to support EWS’ capital performance, budget development, forecasting, variance reporting, and capital program decision making, including lifecycle cost and alternative analyses, while providing project and portfolio-level analysis of budgets, forecasts, and cash flows.

We welcome applications from both internal and external candidates. EPCOR employees should apply using their “epcor.com" email address to ensure proper consideration of internal seniority.

What you’d be responsible for

In the role of Analyst, Capital Governance & Data Management, you are accountable to the Manager, Capital Governance & Data Management and will have the following key accountabilities (but are not limited to these):

  • Provide input into CGR plans and direction, supporting capital planning, project reporting, regulatory support, and budget development, while maintaining strong alignment with project management processes and cross-functional relationships.
  • Develop and maintain tools, templates, and models to analyze EPCOR Water Services capital data, enabling efficient data analysis and informed decision making. Provide support and training to ensure accurate and consistent use across Capital teams.
  • Continuously improve CGR processes, procedures, templates, standards, and tools aligned with corporate policies, while effectively communicating requirements to stakeholders including Project Management Office, One Water Planning, and Finance.
  • Analyze capital data to inform decision making and support monthly, quarterly, and annual reporting, ensuring accuracy, readability, and coordination of EPCOR Water Services Leadership review prior to publication.
  • Maintain EWS capital project information systems (Oracle Projects, CAPEX Dashboard, SharePoint), including recording, monitoring, forecasting, and budgeting of project data.
  • Support the Manager, Capital Governance & Data Management in delivering the annual capital budget and long-term plans, including maintaining templates, reports, training, and stakeholder engagement.
  • Demonstrate a high performance, high discipline, safe, accountable, and results-oriented approach to work.
  • Contribute to capital budget modelling and analysis, assist with research requests, and support project work as assigned.

What’s required to be successful

Qualifications, experience and behaviours you possess are:

  • Completed diploma or degree in Data Analytics, Data Science, Computer Science, Business, Economics, Engineering, Accounting or related discipline is required.
  • Minimum of 7 years of directly related experience in a combination of:
  • Technical experience with data analytics or data science applications and techniques
  • Technical experience with databases and data lakes including data relationship building
  • Experience using Power BI for data analytics, reporting and visualization
  • Strong ability to learn and leverage new technologies and systems for data and financial analysis
  • Experience in project management, accounting, and project lifecycle delivery is considered an asset
  • Strong knowledge of data analytics, data management, and relational database concepts, with expertise in data modelling, visualization, and governance
  • Proficiency in SQL, Python, R, Power BI (DAX), and Microsoft tools (Power BI, Excel, SharePoint) to develop dashboards, analytical models, and data-driven insights
  • Experience with ERP/financial systems (e.g., Oracle Projects, Oracle BI) and cloud platforms (e.g., Azure Databricks) is a strong asset
  • Strong analytical, research, and problem-solving skills, with experience conducting quality assurance and delivering solutions to complex issues
  • Skilled in process improvement, process mapping, and developing training and documentation
  • Innovative, detail-oriented, and results-driven, with strong planning, organization, and time management skills
  • Effective communicator with the ability to present insights and collaborate across all levels of the organization
  • Ability to work both independently and as part of a team

Other important facts about this job

Jurisdiction: CSU52

Class: T3

Hours of work: 80 hour bi-weekly

Starting Wage: $54.92

  • Final Wage and Step will be determined at the time of selection and based on a combination of factors as outlined in the Collective Agreement.

Flexibility at Work: The Where We Work Program

At EPCOR, we recognize that every team member brings unique perspectives, needs, and working styles. We believe that embracing this diversity makes EPCOR a great place to work.

Our Where We Work Program is designed to support a more flexible, inclusive, and rewarding work environment. It empowers employees to work in ways that best suit their individual needs while supporting team collaboration and performance.

For this role, the successful candidate may be eligible to participate in the hybrid Where We Work Program after completing 3 to 6 months in the position and meeting the program’s eligibility criteria.

Learn more about Working at EPCOR!

Follow us on LinkedIn, X, Glassdoor or Facebook!

Please note the following information:

  • A requirement of working for EPCOR is that you are at least 18 years of age, successfully attained a high school diploma (GED, or equivalent level of secondary education) and legally entitled to work in Canada. (A copy of a valid work permit may be required.)
  • If you are considered for the position, clearance on all applicable background checks (which may include criminal, identity, educational, and/or credit) and professional reference checks is required. Some EPCOR positions require an enhanced level of background assessment, which is dictated by law. These positions require advanced criminal record checks that must also be conducted from time to time after commencement of employment.
  • A technical/practical assessment may be administered during the selection process and this exercise will be used as a part of the selection criterion.
  • To meet the physical demands required of some positions, candidates must be in good physical condition and willing to work in all weather conditions. Clearance on pre-placement medical and drug and alcohol testing may be required.
  • Prior infractions for unsafe driving behaviours will be evaluated and considered for non-selection regardless of current demerits on file.
  • If you are required to provide your own personal reliable vehicle - Successful applicants must provide their own vehicles with appropriate insurance in accordance with EPCOR’s Employee Mileage Reimbursement Policy. You will be reimbursed in accordance with EPCOR’s Employee Mileage Reimbursement Policy.
  • The results of this competition may be used to fill similar vacant positions for up to six (6) months.